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Machine learning based intelligent parts catalog

a machine learning and intelligent technology, applied in the field of parts catalogs, can solve the problem that current parts catalogs do not quantify the similarity of alternate parts

Pending Publication Date: 2021-07-29
DELL PROD LP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The patent describes a system that uses machine learning to identify similar parts based on their attributes, such as size, form factor, power consumption, and price. This system helps in creating products that meet quality, price, and regulation requirements. The technical effect of this patent is to provide a more efficient and flexible way to source parts for different products.

Problems solved by technology

In addition, current parts catalogs do not quantify how similar the alternate parts are to the particular part.

Method used

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  • Machine learning based intelligent parts catalog
  • Machine learning based intelligent parts catalog
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Embodiment Construction

[0018]For purposes of this disclosure, an information handling system (IHS) may include any instrumentality or aggregate of instrumentalities operable to compute, calculate, determine, classify, process, transmit, receive, retrieve, originate, switch, store, display, communicate, manifest, detect, record, reproduce, handle, or utilize any form of information, intelligence, or data for business, scientific, control, or other purposes. For example, an information handling system may be a personal computer (e.g., desktop or laptop), tablet computer, mobile device (e.g., personal digital assistant (PDA) or smart phone), server (e.g., blade server or rack server), a network storage device, or any other suitable device and may vary in size, shape, performance, functionality, and price. The information handling system may include random access memory (RAM), one or more processing resources such as a central processing unit (CPU) or hardware or software control logic, ROM, and / or other type...

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PUM

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Abstract

As an example, a server may host an intelligent parts catalog that uses multiple machine learning models to identify a similarity between each part and one or more other parts in the intelligent parts catalog based on attributes of each of the parts in the intelligent parts catalog. For example, the attributes may include size, form factor, electrical characteristics, power consumption, price, regulations complied with, reliability, taxonomy, and the like. If a particular part becomes unavailable (e.g., due to weather, labor strike, or manufacturing issues), the intelligent parts catalog may provide a similarity score with each similar part that quantifies how similar each similar part is to the particular part. In this way, the same bill of materials can be used to identify parts to create a first product for a quality-conscious market, a second product for a price-sensitive market, and a third product to comply with local regulations.

Description

BACKGROUND OF THE INVENTIONField of the Invention[0001]This invention relates generally to a parts catalog and more particularly to using machine learning to create an intelligent parts catalog in which a similarity score indicates a similarity of other parts to a particular part.DESCRIPTION OF THE RELATED ART[0002]As the value and use of information continues to increase, individuals and businesses seek additional ways to process and store information. One option available to users is information handling systems. An information handling system generally processes, compiles, stores, and / or communicates information or data for business, personal, or other purposes thereby allowing users to take advantage of the value of the information. Because technology and information handling needs and requirements vary between different users or applications, information handling systems may also vary regarding what information is handled, how the information is handled, how much information is...

Claims

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Application Information

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IPC IPC(8): G06Q30/06G06Q10/08G06N20/00G06K9/62
CPCG06Q30/0603G06Q30/0629G06K9/6267G06N20/00G06Q10/0875G06N5/02G06N7/01G06F18/24
Inventor BIKUMALA, SATHISH KUMARNAGARAJEGOWDA, DEEPAK
Owner DELL PROD LP